Showing 1 - 20 results of 239 for search '(( python files implementation ) OR ( python model presented ))', query time: 0.30s Refine Results
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    Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management by Pavel Izosimov (20096259)

    Published 2024
    “…</li><li><b>Commercial Distribution</b>: Safely share Python code with clients or customers, implementing advanced <b>Python code protection tools</b> for sales or rentals.…”
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    Exploring the integration of metaverse technologies in engineering education through the SAMR model by Snezhana Dineva (22444471)

    Published 2025
    “…The final deliverable is a plan for phased integration of metaverse learning into a Python programming course following this model, building on existing best practices.…”
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    SecurityGuidelinesRetrievalForPythonCodeGen by Catherine Tony (18368913)

    Published 2025
    “…Using Task-Specific Guidelines for Secure Python Code Generation: Replication Package"</p><p dir="ltr">This replication package contains SecGuide along with the results of each step followed in its creation, the scripts that implement all the prompting approaches and the code generated by the LLMs using these approaches. …”
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    Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration. by satoshi hashimoto(橋本 郷史) (18851272)

    Published 2025
    “…Therefore, we decided to create a dedicated Python program using Large Language Model (LLM)-assisted coding.…”
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    Optimizing Neuronal Calcium Flux Analysis: A Python Framework for Alzheimer's and TBI Studies by Huiying Huang (490768)

    Published 2025
    “…<p dir="ltr">This study presents a Python-based framework for analyzing calcium flux in cortical neurons, particularly in the context of Alzheimer’s disease and traumatic brain injury (TBI). …”
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    BSTPP: a python package for Bayesian spatiotemporal point processes by Isaac Manring (20705955)

    Published 2025
    “…There is a lack of packages with the ability to perform inference for these models, particularly in python. Thus we present BSTPP a python package for Bayesian inference on spatiotemporal point processes. …”